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Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development. AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents. Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner without locking them into closed ecosystems. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. We are looking for an experienced ML leader who has created products with an ML backbone, weaving together research, technical excellence, and strong product focus. We are seeking a professional who excels in three key areas: technology, product vision, and business operations. This role involves extensive cooperation with products across the company – both AI-native and just integrating AI. In this role, you will: Identify, prioritize, and champion high-impact AI projects that align with JetBrains' product strategy and deliver measurable business value. Lead a team of about 50 people across multiple AI initiatives, including hiring and developing team leads, ML engineers, and MLOps specialists. Set the technical direction for JetBrains’ ML roadmap,  translating cutting-edge AI advancements into practical product innovations. Ensure projects deliver on commitments and create measurable value. Set technical standards, architectural direction, and best practices for ML development. We’ll be happy to have you on our team if you have: The ability to balance long-term R&D with short-term product needs. A track record of shipping production ML systems that users actually use. Experience building business cases for technical projects. A deep understanding of modern ML infrastructure, LLMs, and AI tooling. Outstanding stakeholder management skills and are comfortable working with senior leaders. The ability to thrive in a fast-paced environment, effectively managing multiple projects simultaneously. Excellent management and communication skills. Attention to detail in everything you do. We’d be especially thrilled if you have experience with: Distributed training of multi-billion parameter models. CI systems, workflow automation, and experiment tracking. The Kotlin programming language. #LI-KP1 #LI-HYBRID We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge. Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success. Your responsibilities will include: Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning. Creating the datasets, metrics, and pipelines that drive measurable improvements across the system. Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization. Establishing MLOps practices, including orchestration, observability, and experiment tracking. Collaborating with the engineering team on system design and with JetBrains Research on the research agenda. Defining hiring criteria, growing the ML team, and shaping the ML team culture. We expect you to have: A proven track record as an ML/AI Lead. At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI. A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches. Hands-on experience with: Prompt engineering and LLM pipeline design, including evaluation. Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent. Vector databases and retrieval-augmented generation (RAG) patterns. Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models. Strong Python skills – Kotlin knowledge would be a plus. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences. Proficiency in English, both written and verbal. Our ideal candidate would have: Experience with ontologies, knowledge graphs, or graph-based reasoning. Experience in early-stage startups – you enjoy the zero-to-one phase. The ability to think strategically about product-led AI, beyond just training models in isolation. A background in code analysis, developer tools, or software engineering research. Experience with multi-agent systems or complex agentic workflows. Actively contributed to relevant open-source projects or publications. What we offer A competitive salary and JetBrains benefits. A generous runway and corporate resources with startup autonomy. #LI-KP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Pune; Bangalore Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Senior Data Engineer (with AI/ML exposure)  to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!    * The interview process will be conducted in English. Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows. Excellent English communication skills. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses: Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. What we offer: Remote work opportunity! B2B Employment ($, gross) or full-time employment option. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.   Only accepting applicants from INDIA

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Home based - Worldwide This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. We are rapidly expanding the range of open source solutions we offer and deliver to customers, as we move into new industries like telco, finance, health care and media we design and develop new open source solutions to meet their needs. We believe that Engineering Managers should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers. We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result. The role of a Cloud Field Engineering Manager at Canonical The Field Engineering team is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc.  The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process. A Cloud Field Engineering Manager is responsible for line management and career guidance. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals. Location: This role will be home based, managing a team in your time zone. What your day will look like Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services Solve customer problems by promoting our technologies and being a trusted advisor Work remotely in a single major time zone Coach, mentor, and offer career development feedback Identify and measure team health indicators Implement disciplined engineering processes Represent your team and product to stakeholders, partners, and customers Develop and evangelise great engineering and organisational practices Plan and manage progress on agreed goals and projects Be an active part of the leadership team, collaborating with other leaders What we are looking for in you Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc. Practical knowledge of Linux and networking Experience in technical presales You are a dynamic person who loves to jump in new projects and interact with people Excellent verbal and written communication skills in English Passion and a track record of developing and growing people Experience in leading, coaching and mentoring engineers Organised and able to ensure your team delivers timely, high quality results An exceptional academic track record from high school and, preferably, university as well Willingness to travel up to 25% of the time. Field Engineers attend internal company events, external tech events and customer meetings. Additional skills that you might also bring Second language - Spanish or French preferred Python knowledge Experience collaborating with external partners Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Scientist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Build and deploy models for: Price Elasticity / Conversion Prediction Churn Propensity / Retention Uplift Segment Discovery & Similarity (Clustering, KNN) Offer Recommendation / Ranking (Scoring Models) Design A/B testing and uplift modeling to evaluate campaign performance. Develop simulation engines for pricing what-if analysis and scenario testing. Create automated pipelines for model training, scoring, and retraining. Work closely with Data Engineers to ensure feature store alignment. Collaborate with the Business Decisioning team to translate insights into rules and thresholds. Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models. Required Skills: Experience Level: 5–8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems Strong foundation in Machine Learning, Statistics, and Econometrics. Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM). Experience with model lifecycle management (MLOps). Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc. Ability to design feature engineering pipelines and perform A/B testing. Expertise in data visualization and storytelling for non-technical stakeholders Preferred (Nice-to-Have): Experience with Telecom Offer & Recharge Modeling or Dynamic Pricing Systems. Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks. Understanding of Elasticity Curves, Customer Lifetime Value (CLV), and Offer Fatigue Modeling. Experience integrating ML outputs into business decision engines or rule systems.

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Data Architect to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Role Summary: The Data Architect will design and govern the complete data ecosystem for the ValueX platform — including data ingestion, processing, modeling, storage, orchestration, and governance. They will define the data architecture blueprint supporting the system’s core modules. 1. Customer Segmentation 2. Business Decisioning & Offer Assignment Engine 3. Real-Time Offer Orchestration Module (ROOM) 4. ML/AI Model Management & Simulation Engine The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning — with a focus on performance, cost optimization, and maintainability. Key Responsibilities: Data Architecture & Design Define the end-to-end data architecture across batch, streaming, and real-time layers. Design Customer 360 and Offer 360 data models, including feature store and historical layers. Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration. Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations. Set up data versioning and lineage frameworks to track data provenance Data Ingestion & Integration Architect data ingestion pipelines from multiple telco sources: OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs. Define patterns for real-time event ingestion (recharge, offer purchase, balance check). Standardize data access through APIs or data products for downstream modules. Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, DecisionRules.io , KNIME). Data Management & Governance Define and enforce data quality, lineage, catalog, and access policies. Establish metadata management frameworks (e.g., DataHub, Collibra, Amundsen). Set up data validation and DQ frameworks (Great Expectations, Deequ). Govern data partitioning, schema evolution, retention, and archiving strategies. Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies). Scalability, Cost & Performance Design for high performance and cost-efficient scalability (25M → 50M → 75M customers). Optimize compute/storage balance across environments (Dev, UAT, Prod). Define data lakehouse optimization strategies (Z-Order, Delta caching, compaction). Monitor and manage query performance, cluster sizing, and job orchestration costs. Collaboration & Governance Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment. Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry). Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx). Provide best practices and design patterns for model deployment, retraining, and data lifecycle management. 10+ years in Data Architecture and Data Platform Design Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management. ETL/ELT & Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory. Streaming & Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow) Storage & Compute-Delta Lake, Parquet, Iceberg, Snowflake Data Quality & Governance-Great Expectations, Deequ, DataHub, Collibra Programming & Scripting-Python, SQL, PySpark, YAML API & Integration Design-REST, GraphQL, Kafka Connect, JSON schema Security & Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance Preferred (Nice-to-Have) Telecom industry experience (recharge, balance, offer, churn, usage data). Experience integrating with Adobe Experience Platform (AEP) or Pricefx. Knowledge of DecisionRules.io , KNIME, or n8n for workflow orchestration. Familiarity with AI/ML pipelines and MLOps frameworks (MLflow, SageMaker). Exposure to knowledge graphs (Neo4j, GraphFrames) for segmentation and recommendation. Educational Background Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields. Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.

Location: Poland; Ukraine; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Collaborate with research teams to implement novel data processing architectures Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: 5+ YOE outside of internships Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Advanced degree in Computer Science or related field Experience with language model training infrastructure Background in Data Infrastructure, MLOps, or ML infrastructure Strong candidates may have: Have significant experience building high-throughput fault-tolerant distributed systems Expertise with Python and Rust Passionate about system reliability and performance Are comfortable working with ambiguous requirements and evolving specifications Take ownership of problems and drive solutions independently Are excited about contributing to the development of safe and ethical AI systems Can balance technical excellence with practical delivery Are eager to learn about machine learning research and its infrastructure requirements Sample Projects Designing and implementing distributed computing architecture for web-scale data processing Building scalable infrastructure for model training data preparation Developing fault-tolerant distributed processing systems Implementing new infrastructure components based on research requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with deployment of AI systems and large language models (LLMs) is not required but a plus. What You'll Bring Bachelor's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Proven track record of mentoring junior engineers and fostering a collaborative team environment. Experience in the finance industry is a plus but not required. Experience MLOps, LLM, agents or systems of agents is a significant plus. What We Offer: Competitive compensation package . Core benefits include: premium private health insurance. Strong culture of learning and development: training courses, guest speakers, share and learn events, etc. Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. Dynamic work without routine in a leading international company. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Yerevan, Armenia Description We are seeking a Data Product Owner to lead the vision, strategy, and execution of our data and AI/ML products. This role bridges business stakeholders, data engineering, and data science, ensuring that our data assets, analytics platforms, and machine learning models deliver measurable value. The ideal candidate combines product management expertise with strong knowledge of data, analytics, and applied AI/ML. Responsibilities Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.) Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria Work closely with data scientists to design, build, and deploy ML models into production Ensure data quality, explainability, scalability, and performance are built into all products Oversee the lifecycle of ML models (development, deployment, monitoring, retraining) Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations) Have minimal knowledge in MLOps, metadata management, and data governance Requirements Proven experience as a Product Owner / Product Manager in data, AI/ML, or analytics-focused products Strong understanding of data science workflows, machine learning lifecycle Domain knowledge in iGaming, fintech, or other data-intensive industries Understanding of responsible AI, model explainability, and bias mitigation Ability to identify and prioritize high-value AI/ML use cases Familiarity with data engineering and BI platforms Hands-on exposure to AI/ML concepts (predictive modeling, NLP, computer vision, recommendation systems) Excellent communication and stakeholder management skills, with the ability to align technical and business teams Experience with Agile/Scrum and product backlog management

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ RESPONSIBILITIES - Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) - Partner closely with developers and research engineers to translate complex training requirements into technical solutions - Design and architect a global training scheduler - Design and architect reinforcement learning systems and continuous learning pipelines - Drive long-term improvements to increase reliability of systems and velocity of development - Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure - Make critical architectural decisions balancing performance with system reliability - Lead technical discussions and mentor junior engineers on infrastructure best practices - Contribute to long-term technical strategy and infrastructure roadmap REQUIREMENTS - Bachelor’s degree or higher in Computer Science or related field - 5+ years of experience - Proficiency in Go, with - Deep expertise with Kubernetes in production environments - Advanced understanding of distributed systems concepts and performance tuning - Proven experience designing observability systems - Experience with ML/AI workloads and MLOps platforms NICE TO HAVE - Experience with distributed storage systems - Python experience a plus - Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) - Experience with workload orchestration platforms like Temporal or Airflow - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts. ROLE The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Take ownership of our products modeling pipelines - Contribute to high modeling performance through insightful ideas and initiatives. - Build and deploy quickly scalable ML systems. - Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders. - Deep dive into data to discover relevant insights. - Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations. - Mentor and guide a team of data scientists, fostering technical excellence and autonomy. - Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects. - Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value. - Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies. PROFILE - Extensive experience building machine learning systems - Extensive experience with Python, SQL and MLOps best practices - Cloud experience needed (ideally AWS but could be another cloud provider) - Airflow and DBT experience is a nice to have - Excellent Communication in English and French mandatory - You enjoy working in a team, learning new things, sharing knowledge - Experience in a tech startup/scaleup is a plus - Strong achievements on Kaggle will be valued BENEFITS - Competitive salary - Comprehensive relocation package (including visa support) - Premium healthcare (SideCare) for you and your family 100% borne by Voodoo - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Wellness activities in our Paris office - Unlimited vacation policy - Remote days - Child daycare facilities (Les Petits Chaperons rouges)

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written For more senior positions, product management experience in the software industry Ability to manage multiple projects or product lines while maintaining focus on key priorities Demonstrated leadership in aligning diverse teams and driving consensus around product strategies Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written Ability to manage multiple projects or product lines while maintaining focus on key priorities Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows. Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. Work with product engineers to define and deliver impactful AI features across Figma’s platform. Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma. We’d love to hear from you If you have: 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI. Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring. Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost. Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality. Experience mentoring or leading others and contributing to a culture of technical excellence and innovation. While not required, It’s an added plus if you also have: Familiarity with search relevance, ranking, NLP, or RAG systems. Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows. Experience working on creative or design-focused ML applications. Knowledge of additional languages such as C++ or Go is a plus, but not required. A product mindset with the ability to tie technical work to user outcomes and business impact. Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Lagos, Nigeria; Russia We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring. Responsibilities Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation. Requirements Demonstrated experience working in fintech or banking, especially within emerging markets. Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses. Strong programming skills in Python and SQL for data analysis, modeling, and automation. Proven experience with machine learning techniques, including: Regression, classification, ranking, boosting Graph-based models, neural networks, NLP, and large language models (LLMs) Solid understanding and practical implementation of AI concepts and systems. Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions. Experience with cloud computing platforms, especially AWS (highly preferred). Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana. Prior exposure to risk management or analytics, particularly within the cards or payments space. Strong grasp of Agile and Scrum methodologies in a data or engineering environment. Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences. Fluent in spoken English.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written For more senior positions, product management experience in the software industry Ability to manage multiple projects or product lines while maintaining focus on key priorities Demonstrated leadership in aligning diverse teams and driving consensus around product strategies Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote